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pmid:37736513

Evaluation of the expression profile of mRNAs and lncRNAs in cumulus cells associated with polycystic ovary syndrome and pregnancy.

Behnaz Hammami · Fatemeh Sadat Mostafavi · Ali Akbari · Seyyed Reza Mousavi · Mohammad Kazemi

Iranian journal of basic medical sciences · 2023 doi:10.22038/IJBMS.2023.67564.14806

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complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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title
Evaluation of the expression profile of mRNAs and lncRNAs in cumulus cells associated with polycystic ovary syndrome and pregnancy.
doi
10.22038/IJBMS.2023.67564.14806
pmid
37736513
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Behnaz Hammami
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Fatemeh Sadat Mostafavi
[2]
Ali Akbari
[3]
Seyyed Reza Mousavi
[4]
Mohammad Kazemi
journal
Iranian journal of basic medical sciences
year
2023
abstract
Objectives: Polycystic ovary syndrome (PCOS), the primary cause of anovulatory infertility in women, may change the gene expression profile of cumulus cells. In human ART (assisted reproductive technology), gene expression profiling in cumulus cells, a non-invasive method, may be used to identify the most competent oocytes. We aim to identify key genes according to the network-based data and assess the suitability of these genes as markers to predict oocyte competence and PCOS diagnosis. Materials and Methods: The GSE34526 microarray dataset was obtained from the Gene Expression Omnibus (GEO) database. The function and pathway enrichment analysis for DEGs were analyzed. A protein-protein interaction (PPI) network analysis and candidate gene screening were conducted. A two-layer network consisting of mRNA and lncRNA was constructed. Expression levels of hub genes were verified using quantitative RT-PCR (qRT-PCR). Results: A total of 2721 DEGs were retained. The PPI network of selected genes associated with the biological process of "cell communication" was analyzed, and the first 10 key genes were determined by degree. Additionally, 2 hub genes and 2 hub lncRNAs, including STAT3, RHOA, GAS5, and LINC01116, were selected from the lncRNA-mRNA network. Finally, expression levels of STAT3, RHOA, GAS5, and LINC01116 were significantly increased in the cumulus cells of PCOS patients compared to the control group (P<0.05). However, there was no significant difference in expression between the pregnant and non-pregnant groups. Conclusion: STAT3, RHOA, GAS5, and LINC01116 may serve as possible diagnostic markers for PCOS. However, further studies on a larger population are needed to validate this finding.
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STAT3, RHOA, GAS5, and LINC01116 expression levels were significantly increased in cumulus cells from PCOS patients compared with controls, but did not differ significantly between pregnant and non-pregnant groups.
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Finally, expression levels of STAT3, RHOA, GAS5, and LINC01116 were significantly increased in the cumulus cells of PCOS patients compared to the control group (P<0.05).
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Finally, expression levels of STAT3, RHOA, GAS5, and LINC01116 were significantly increased in the cumulus cells of PCOS patients compared to the control group (P<0.05).
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STAT3, RHOA, GAS5, and LINC01116 expression levels were significantly increased in cumulus cells from PCOS patients compared with controls, but did not differ significantly between pregnant and non-pregnant groups.
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Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37736513", "kind": "science-record", "revision": 3, "content_hash": "sha256:edb15b293c4b46ee6fe054a4e21f8749ac1d6c4a539832d737f79deb33867ca6", "created_at": "2026-11-01T19:02:34Z", "updated_at": "2026-11-01T22:10:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Evaluation of the expression profile of mRNAs and lncRNAs in cumulus cells associated with polycystic ovary syndrome and pregnancy.", "doi": "10.22038/IJBMS.2023.67564.14806", "pmid": "37736513", "authors": ["Behnaz Hammami", "Fatemeh Sadat Mostafavi", "Ali Akbari", "Seyyed Reza Mousavi", "Mohammad Kazemi"], "journal": "Iranian journal of basic medical sciences", "year": 2023, "abstract": "Objectives: Polycystic ovary syndrome (PCOS), the primary cause of anovulatory infertility in women, may change the gene expression profile of cumulus cells. In human ART (assisted reproductive technology), gene expression profiling in cumulus cells, a non-invasive method, may be used to identify the most competent oocytes. We aim to identify key genes according to the network-based data and assess the suitability of these genes as markers to predict oocyte competence and PCOS diagnosis.\nMaterials and Methods: The GSE34526 microarray dataset was obtained from the Gene Expression Omnibus (GEO) database. The function and pathway enrichment analysis for DEGs were analyzed. A protein-protein interaction (PPI) network analysis and candidate gene screening were conducted. A two-layer network consisting of mRNA and lncRNA was constructed. Expression levels of hub genes were verified using quantitative RT-PCR (qRT-PCR).\nResults: A total of 2721 DEGs were retained. The PPI network of selected genes associated with the biological process of \"cell communication\" was analyzed, and the first 10 key genes were determined by degree. Additionally, 2 hub genes and 2 hub lncRNAs, including STAT3, RHOA, GAS5, and LINC01116, were selected from the lncRNA-mRNA network. Finally, expression levels of STAT3, RHOA, GAS5, and LINC01116 were significantly increased in the cumulus cells of PCOS patients compared to the control group (P<0.05). However, there was no significant difference in expression between the pregnant and non-pregnant groups.\nConclusion: STAT3, RHOA, GAS5, and LINC01116 may serve as possible diagnostic markers for PCOS. However, further studies on a larger population are needed to validate this finding.", "claims": [{"id": "claim-method", "statement": "The GEO2R tool of the GEO database was used for the identification of DE genes; |Log2 fold change (log2FC)|≥1 and P-value<0.05 were regarded as cutoff criteria.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37736513", "locator": "sections[2] \"Materials and Methods\" paragraph 5", "quote": "The GEO2R tool of the GEO database was used for the identification of DE genes; |Log2 fold change (log2FC)|≥1 and P-value<0.05 were regarded as cutoff criteria."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray data for GSE34526 was selected from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) in the National Center of Biotechnology Information. 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